Publication

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

Graph Chatbot

Chat with Graph Search

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning

A system design for elastically scaling transaction processing engines in virtualized servers

AIDE: Accelerating image‐based ecological surveys with interactive machine learning

Fast and Accurate Uncertainty Estimation in Chemical Machine Learning

A Machine-Learning Framework for Automating Well-Log Depth Matching

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Designing a Virtual Runtime for FPGA Accelerators in the Cloud

The IX Operating System: Combining Low Latency, High Throughput, and Efficiency in a Protected Dataplan

VNToR: Network Virtualization at the Top-of-Rack Switch

A system design for elastically scaling transaction processing engines in virtualized servers

AIDE: Accelerating image‐based ecological surveys with interactive machine learning

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning

A Machine-Learning Framework for Automating Well-Log Depth Matching

Fast and Accurate Uncertainty Estimation in Chemical Machine Learning

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

VNToR: Network Virtualization at the Top-of-Rack Switch

Designing a Virtual Runtime for FPGA Accelerators in the Cloud

The IX Operating System: Combining Low Latency, High Throughput, and Efficiency in a Protected Dataplan